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The 2021 Hotel-ID to Combat Human Trafficking Competition Dataset

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arxiv 2106.05746 v2 pith:2NSPV6EY submitted 2021-06-10 cs.CV

classification cs.CV
keywords hotelimagestraffickingdatasethumanrecognitionroomssame
verification ladder T0 review T1 audit T2 compute T3 formal

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Hotel recognition is an important task for human trafficking investigations since victims are often photographed in hotel rooms. Identifying these hotels is vital to trafficking investigations since they can help track down current and future victims who might be taken to the same places. Hotel recognition is a challenging fine grained visual classification task as there can be little similarity between different rooms within the same hotel, and high similarity between rooms from different hotels (especially if they are from the same chain). Hotel recognition to combat human trafficking poses additional challenges as investigative images are often low quality, contain uncommon camera angles and are highly occluded. Here, we present the 2021 Hotel-ID dataset to help raise awareness for this problem and generate novel approaches. The dataset consists of hotel room images that have been crowd-sourced and uploaded through the TraffickCam mobile application. The quality of these images is similar to investigative images and hence models trained on these images have good chances of accurately narrowing down on the correct hotel.

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